Joseph Miller
Title
M.S. Candidate
Research
My work focuses on using preexisting fiberoptic cables for seismic sensing in urban environments. By leveraging the dense spatial sampling DFOS systems provide, I can assign magnitudes to seismic signals. Additionally, I apply a deep learning model based on a convolutional neural network to identify low SNR signals. My work has broad application to monitoring enhanced geothermal systems where monitoring and characterizing low SNR microseismicity is crucial to operational safety.
About
My interests are: Distributed Acoustic Sensing (DAS), Seismology, Geophysics, Machine Learning, Magnitude Estimation, Seismic Inversion, Event detection and localization.